Staff AI Engineer: Enterprise LLM & Multi-Agent Systems

The Aspen Group; Illinois; Híbrido; USD 170 000 - 200 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Paid time off

Health

Dental

Vision

401(k) savings plan with match

Resumo da oferta

The Aspen Group (TAG) is seeking a Staff AI Engineer to join our growing AI team. This hands-on role delivers innovative solutions for the healthcare enterprise, focusing on multi-agent systems, LLM-based architectures, and production-grade AI platforms.

The ideal candidate will have deep expertise in modern AI systems, agent orchestration, and cloud-native deployment, with strong Python skills and experience with Vertex AI and related frameworks. Join us to push AI at scale across TAG brands.

Qualificações

• BS in Computer Science or related technology field or equivalent experience.
• 2+ years of experience in Agentic AI engineering.
• 4+ years of experience in AI/ML engineering and 8+ years of experience in software engineering.
• Proven track record of building and deploying production-grade AI/ML systems at scale.
• Deep understanding of modern AI model architectures (transformers, diffusion models) and system design.
• Strong hands-on expertise with Vertex AI (training, pipelines, orchestration, deployment, monitoring) and Google's Agentic AI stack.
• Hands-on with agent orchestration frameworks: Google ADK/Agentspace, LangChain, LangGraph, LlamaIndex, CrewAI or AutoGen.
• Proficiency in Python, LLM integration workflows, MCP, and A2A orchestration.
• Experience with distributed training, online inference, and low latency serving architectures.
• Experience with Kubernetes, Cloud Run, and Dataflow/PubSub.

Responsabilidades

• Architect and develop enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks.
• Design and implement RAG pipelines using BigQuery and Vertex AI Engine for knowledge grounding and accurate responses.
• Optimize agents for orchestration, knowledge grounding, multi-step reasoning, and decision-making.
• Design and implement distributed training workflows, online inference systems, and low latency serving architectures on Google cloud-native services.
• Engineer scalable, secure, compliant AI fabric and agent workflows using Vertex AI and modern cloud-native tech.
• Create reusable agent orchestration layers, observability hooks, and governance frameworks to accelerate adoption across TAG brands.
• Partner with cross-functional stakeholders to translate business requirements into technical specs.
• Own the full AI development lifecycle from data collection to deployment and monitoring.
• Implement observability and automation strategies for AI system reliability and performance at scale.

Conhecimentos

Agentic AI engineering

AI/ML engineering

Software engineering

Python

LLM integration workflows

Multi-agent systems

Formação académica

BS in Computer Science

Ferramentas

Vertex AI

Google ADK/Agentspace

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

MCP (Model Context Protocol)

Kubernetes

Cloud Run

Dataflow/PubSub

Descrição da oferta de emprego

The Aspen Group (TAG) is seeking a Staff AI Engineer to join our growing AI team. This hands-on role delivers innovative solutions for the healthcare enterprise, focusing on multi-agent systems, LLM-based architectures, and production-grade AI platforms.

The ideal candidate will have deep expertise in modern AI systems, agent orchestration, and cloud-native deployment, with strong Python skills and experience with Vertex AI and related frameworks. Join us to push AI at scale across TAG brands.